{"title":"有限精度小波图像编码:有损和无损压缩性能评价","authors":"Marco Grangetto, E. Magli, G. Olmo","doi":"10.1109/ICIP.2000.899331","DOIUrl":null,"url":null,"abstract":"This paper investigates the robustness of the wavelet transform, implemented by means of the lifting scheme (LS), with respect to numerical errors in the representation and calculation of transformed coefficients. The study promises to offer important contributions for the understanding of the LS capabilities when specific implementations are considered. This is a topic of growing interest as the new standard JPEG 2000, based on the wavelet transform, is being finalized. Taking into account the effect of finite precision representation can drive both software and hardware implementations with optimized trade off between complexity and performance; moreover the robustness to numerical errors could be an important feature, not usually considered, in order to select the best wavelet filters.","PeriodicalId":193198,"journal":{"name":"Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Finite precision wavelets for image coding: lossy and lossless compression performance evaluation\",\"authors\":\"Marco Grangetto, E. Magli, G. Olmo\",\"doi\":\"10.1109/ICIP.2000.899331\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper investigates the robustness of the wavelet transform, implemented by means of the lifting scheme (LS), with respect to numerical errors in the representation and calculation of transformed coefficients. The study promises to offer important contributions for the understanding of the LS capabilities when specific implementations are considered. This is a topic of growing interest as the new standard JPEG 2000, based on the wavelet transform, is being finalized. Taking into account the effect of finite precision representation can drive both software and hardware implementations with optimized trade off between complexity and performance; moreover the robustness to numerical errors could be an important feature, not usually considered, in order to select the best wavelet filters.\",\"PeriodicalId\":193198,\"journal\":{\"name\":\"Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101)\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2000-09-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIP.2000.899331\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIP.2000.899331","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Finite precision wavelets for image coding: lossy and lossless compression performance evaluation
This paper investigates the robustness of the wavelet transform, implemented by means of the lifting scheme (LS), with respect to numerical errors in the representation and calculation of transformed coefficients. The study promises to offer important contributions for the understanding of the LS capabilities when specific implementations are considered. This is a topic of growing interest as the new standard JPEG 2000, based on the wavelet transform, is being finalized. Taking into account the effect of finite precision representation can drive both software and hardware implementations with optimized trade off between complexity and performance; moreover the robustness to numerical errors could be an important feature, not usually considered, in order to select the best wavelet filters.